RNA-Seq Transcriptome Analysis of Peripheral Blood From Cattle Infected With Mycobacterium bovis Across an Experimental Time Course
Bovine tuberculosis, caused by infection with members of the Mycobacterium tuberculosis complex, particularly Mycobacterium bovis , is a major endemic disease affecting cattle populations worldwide, despite the implementation of stringent surveillance and control programs in many countries. The deve...
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| Vydané v: | Frontiers in veterinary science Ročník 8; s. 662002 |
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| Hlavní autori: | , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Frontiers Media S.A
28.05.2021
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| Predmet: | |
| ISSN: | 2297-1769, 2297-1769 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Bovine tuberculosis, caused by infection with members of the
Mycobacterium tuberculosis
complex, particularly
Mycobacterium bovis
, is a major endemic disease affecting cattle populations worldwide, despite the implementation of stringent surveillance and control programs in many countries. The development of high-throughput functional genomics technologies, including RNA sequencing, has enabled detailed analysis of the host transcriptome to
M. bovis
infection, particularly at the macrophage and peripheral blood level. In the present study, we have analysed the transcriptome of bovine whole peripheral blood samples collected at −1 week pre-infection and +1, +2, +6, +10, and +12 weeks post-infection time points. Differentially expressed genes were catalogued and evaluated at each post-infection time point relative to the −1 week pre-infection time point and used for the identification of putative candidate host transcriptional biomarkers for
M. bovis
infection. Differentially expressed gene sets were also used for examination of cellular pathways associated with the host response to
M. bovis
infection, construction of
de novo
gene interaction networks enriched for host differentially expressed genes, and time-series analyses to identify functionally important groups of genes displaying similar patterns of expression across the infection time course. A notable outcome of these analyses was identification of a 19-gene transcriptional biosignature of infection consisting of genes increased in expression across the time course from +1 week to +12 weeks post-infection. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Adam O. Whelan, Biomedical Sciences, Defence Science and Technology Laboratory, Salisbury, United Kingdom Kevin Rue-Albrecht, MRC WIMM Centre for Computational Biology, University of Oxford, Oxford, United Kingdom This article was submitted to Veterinary Infectious Diseases, a section of the journal Frontiers in Veterinary Science Bernardo Villarreal-Ramos and H. Martin Vordermeier have positions as Ser Cymru II Professors of Immunology at the Institute of Biological, Environmental & Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom Edited by: Federico Blanco, Institute of Biotechnology, National Institute of Agricultural Technology (INTA), Argentina Reviewed by: Marta Alonso-Hearn, Animalien Osasuna, NEIKER-Instituto Vasco de Investigación y Desarrollo Agrario, Spain; Paola M. Boggiatto, National Animal Disease Center (USDA ARS), United States Present address: Nicolas C. Nalpas, Quantitative Proteomics and Proteome Centre Tübingen, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany |
| ISSN: | 2297-1769 2297-1769 |
| DOI: | 10.3389/fvets.2021.662002 |